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Items where Author is "Knapp, K."

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Number of items: 10.

Article

Slabaugh, G. G., Gundry, M., Knapp, K. , Asad, M. & Al Arif, S. M. M. R. (2017). Patch-based Corner Detection for Cervical Vertebrae in X-ray Images. Signal Processing: Image Communication, doi: 10.1016/j.image.2017.04.002

Jebri, B., Phillips, M. L., Knapp, K. , Appelboam, A., Reuben, A. & Slabaugh, G. G. (2015). Detection of degenerative change in lateral projection cervical spine x-ray images. Progress in Biomedical Optics and Imaging - Proceedings of SPIE, 9414, p. 941404. doi: 10.1117/12.2082515

Narang, B., Phillips, M. L., Knapp, K. , Appelboam, A., Reuben, A. & Slabaugh, G. G. (2015). Semi-automatic delineation of the spino-laminar junction curve on lateral X-ray radiographs of the cervical spine. Progress in Biomedical Optics and Imaging - Proceedings of SPIE, 9413, 94132P. doi: 10.1117/12.2082036

Book Section

Ngan, K. H., d'Avila Garcez, A., Knapp, K. , Appelboam, A. & Reyes-Aldasoro, C. C. ORCID: 0000-0002-9466-2018 (2020). A machine learning approach for Colles' fracture treatment diagnosis. In: Medical Image Understanding and Analysis: 24th Annual Conference, MIUA 2020, Oxford, UK, July 15-17, 2020, Proceedings. Communications in Computer and Information Science (1248). (pp. 319-330). Cham: Springer. doi: 10.1007/978-3-030-52791-4_25

Slabaugh, G. G., Knapp, K. & Al-Arif, S. M. (2017). Probabilistic Spatial Regression using a Deep Fully Convolutional Neural Network. In: Proceedings of the British Machine Vision Conference (BMVC). (154.1-154.12). BMVA Press.

Al-Arif, S. M., Gundry, M., Knapp, K. & Slabaugh, G. G. (2017). Improving an Active Shape Model with Random Classification Forest for Segmentation of Cervical Vertebrae. In: Yao, J., Vrtovec, T., Zheng, G. , Frangi, A., Glocker, B. & Li, S. (Eds.), Improving an Active Shape Model with Random Classification Forest for Segmentation of Cervical Vertebrae. Lecture Notes in Computer Science, 10182. (pp. 3-15). Cham: Springer.

Al Arifi, S. M. M. R., Asad, M., Knapp, K. , Gundry, M. & Slabaugh, G. G. (2015). Cervical Vertebral Corner Detection using Haar-like Features and Modified Hough Forest. In: 2015 International Conference on Image Processing Theory, Tools and Applications. (pp. 417-422). IEEE. doi: 10.1109/IPTA.2015.7367179

Conference or Workshop Item

Ilczyszyn, A., Ringrose, C., Goldsworthy, N. , Beresineviciute, L., Reyes-Aldasoro, C. C. ORCID: 0000-0002-9466-2018, Appelboam, A. & Knapp, K. (2019). Colles’ Fractures: Intra- and Inter-operator precision of alignment measurements from projection radiographs pre- and post-manipulation under anaesthesia.. Poster presented at the UK Imaging & Oncology Congress 2019, 10-12 June 2019, Liverpool, UK.

Al-Arif, S. M., Gundry, M., Slabaugh, G. G. & Knapp, K. (2017). Global Localization and Orientation of the Cervical Spine in X-ray Imaging. In: Computational Methods and Clinical Applications for Spine Imaging. CSI 2016. Lecture Notes in Computer Science, 10182. (pp. 64-76). Cham: Springer. ISBN 978-3-319-55049-7

Al-Arif, S. M., Asad, M., Knapp, K. , Gundry, M. & Slabaugh, G. G. (2015). Hough Forest-based Corner Detection for Cervical Spine Radiographs. Paper presented at the Medical Image Understanding and Analysis Conference, MIUA 2015, 15-07-2015 - 17-07-2015, University of Lincoln, UK.

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